Way2IT4U – Machine Learning with Python Online Training

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Why Way2IT4U Machine Learning Online Training

Way2IT4U – Machine Learning with Python Online Training: In this term, you’ll begin by exploring core machine learning concepts, before moving on to supervised and unsupervised learning.

The concept in machine learning is similar to that of data mining and predictive modeling. In both require searching through data to look for the patterns and adjust the data accordingly. This concept is mostly used in the area of Online Shopping, fraud detection, online shopping, spam filtering, predictive maintenance.

Throughout Machine Learning online training, you will be getting the clear functioning of each and every algorithm.

Table of Contents
  • Introduction to Python
  • Data types in Python
    • Built-in Data types
    • Representing Binary, Octal and Hex decimal Numbers
    • Bool Data types
    • Sequences in Python
      • Str
      • Bytes
      • Byte array
      • Tuple
      • List
      • Range
    • Sets
      • Set Data types

 

  • Operators in Python
    • Arithmetic Operators
    • Assignment operators
    • Relational Operators
    • Logical Operators
    • Boolean Operators
    • Member Ship Operators
    • Identity Operators

 

  • Input and Output operations in Python
  • Control Statements
  • Arrays in Python
    • Types of Arrays
    • Using NumPy
    • Manipulations with Arrays
  • Working with Strings & Characters
    • Creating Strings
    • Indexing Strings
    • Slicing Strings
    • Concatenation of Strings
    • Splitting & Joining of Strings
    • Sorting Strings.

 

  • Functions in Python
    • Defining of Function.
    • Calling a Function.
    • Anonymous Functions or Lambdas
    • Creating own Modules in Python
    • The Special variable _NAME_

 

  • Working with Lists & Tuples
      • Updating the Elements of a list
      • Concatenation of Two Lists
      • Sorting the List Elements
      • Creating of tuples
      • Accessing of Tuple Elements
      • Basic Operations on Tuples
  • Dictionaries
    • Operations on Dictionaries
    • Dictionary Methods
    • Using FOR LOOP with Dictionaries
    • Converting Lists into Dictionary
  • Object Oriented in Python
    • Features of OOP’s
    • Classes and Objects
    • Encapsulation
    • Inheritance
    • Polymorphism
  • Files in PYTHON:
    • Types of Files in PYTHON.
    • Opening a File.
    • Closing a File.
    • With Statement
    • Working with Directories.
  • Working with Date & Time
  • Python Database Connectivity:
    • Types of DB’s used with Python
    • Working with MYSQL/ORACLE DB’s
    • Retrieving Rows
    • Inserting, Updating & Deleting of Rows.
  • Getting Started with Python and Machine Learning
  • Packages used for Machine Learning in PYTHON.
  • Overfitting, Under Fitting and Bias-variance Tradeoff.
  • Processing, Exploration and Feature Engineering
    • Missing Values
    • Scaling
    • Binning
    • Polynomial Features
  • Spam Email Detection with Naïve Bayes
  • News topic Classification with Support Vector Machine
  • Click-Through Prediction with Tree-Base Algorithms
  • Click-Through Prediction with Logistic Regression
  • Stock price Prediction with Regression Algorithms
  • Machine Learning workflow
  • Project Based Implementation:
    • Best Practices in the data Preparation Stages
    • Best Practices in the training sets preparation stages
    • Best Practices in the Model Training, Evaluation
    • Best Practices in the deployments and monitoring
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